---
license: bsd-3-clause
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- f1
model-index:
- name: ast-finetuned-audioset-10-10-0.4593-finetuned-AST
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: audiofolder
      type: audiofolder
      config: Data_Train
      split: train
      args: Data_Train
    metrics:
    - name: F1
      type: f1
      value: 0.9263904420024879
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ast-finetuned-audioset-10-10-0.4593-finetuned-AST

This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5280
- F1: 0.9264

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.875         | 1.0   | 688  | 0.5758          | 0.8268 |
| 1.1367        | 2.0   | 1376 | 0.5628          | 0.8709 |
| 0.0831        | 3.0   | 2064 | 0.5236          | 0.8933 |
| 0.0964        | 4.0   | 2752 | 0.4338          | 0.9204 |
| 0.001         | 5.0   | 3440 | 0.5198          | 0.9174 |
| 0.0001        | 6.0   | 4128 | 0.5625          | 0.9150 |
| 0.0           | 7.0   | 4816 | 0.5280          | 0.9264 |
| 0.0           | 8.0   | 5504 | 0.5261          | 0.9221 |
| 0.0           | 9.0   | 6192 | 0.5256          | 0.9206 |
| 0.0           | 10.0  | 6880 | 0.5271          | 0.9193 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3